一种融合时域和空域信息的运动目标分割新方法(英文)

A NOVEL APPROACH OF FUSING TEMPORAL AND SPATIAL INFORMATION FOR SEGMENTING MOVING OBJECTS

提出了一种融合时域和空域信息的方法 ,用于从视频序列中分割出运动物体 .该方法是在分割过程中通过区域捆绑逐步融合时域和空域信息 ,而不是在时域分割结束之后再融合空域信息 .分布式地表达分割物体并刻画其特征是区域捆绑的主要特征 .本文的方法首先通过早期分割得到许多小区域 ,然后将这些小区域捆绑成一些捆绑核 ,再将剩下的区域通过强或弱的规则捆绑到相邻的捆绑核 ,从而实现目标区域的分割 .

A novel approach based on spatial-temporal information fusion is proposed to segment moving objects in video sequences. In the proposed approach, temporal and spatial information are integrated gradually by a region binding process during the segmentation, which is different to the process of combining temporal and spatial segmentation results. The significance of the proposed region binding algorithm is that regions are represented and characterized distributively. In the first stage of the proposed approach, current frame is segmented into many small regions primitively. Then, these small regions are bound to form the Binding-CCores ( BC). Finally, the rest regions are bound to their neighboring BCs under strong or weak rules to get the final object regions. Experimental result demonstrated the performance of the approach.